- Senior
- Ufficio in San Jose
- Partner with business units (HR, Sales, Support, Finance, Engineering, etc.) to identify and develop scalable, high-ROI AI/ML use cases.
- Evaluate and prioritize initiatives based on feasibility, strategic alignment, and business value.
- Define and implement a robust AI governance framework covering intake, risk review, compliance, data integrity, and model performance monitoring.
- Collaborate with Legal, Security, and Compliance to ensure AI practices adhere to ethical standards and regulatory requirements.
- Promote responsible AI principles across all phases of development and deployment.
- Develop and manage the AI enablement roadmap in alignment with business goals and corporate strategy.
- Lead cross-functional working groups to ensure on-time delivery, manage interdependencies, and allocate resources effectively.
- Track progress, identify risks, and provide regular updates to executive stakeholders.
- Drive AI adoption by partnering with IT, business leaders, and enablement teams to integrate AI tools into core processes.
- Build frameworks to measure adoption, enable user training, and embed change management best practices.
- Define success metrics for AI initiatives (e.g., adoption rates, cost reduction, productivity gains).
- Deliver quarterly executive dashboards highlighting outcomes, risk posture, and AI pipeline progress.
- 8+ years of experience in program management, product management, or technology strategy roles, with at least 3 years focused on AI/ML or data initiatives.
- Proven experience driving enterprise-scale transformation initiatives across multiple functions.
- Strong understanding of AI/ML concepts, governance principles, and responsible AI frameworks.
- Familiarity with data privacy, security, and compliance in AI environments (e.g., GDPR, SOC2, etc.).
- Exceptional cross-functional leadership skills; ability to influence without authority.
- Experience working with executive leadership and presenting to senior stakeholders.
- Strong analytical mindset with experience in metrics-driven reporting and dashboard development.
- Bachelor’s degree in Computer Science, Engineering, Business, or related field (Master’s or MBA preferred).
About us
We’re an equal opportunity employer.
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